Using advanced imaging and AI to improve heart attack risk assessment
Official title: Cardiac Ultrasound Radiomics-Guided Deep Neural Networks for Acute Myocardial Infarction Precision Phenotyping
Funded at Rutgers Biomedical and Health Sciences · NIH-11067568 · Data updated 2026-11-12
This study is looking at how advanced heart imaging and smart computer technology can help doctors better understand which heart attack patients are at the highest risk, so they can create more personalized treatment plans to improve their health.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Rutgers Biomedical and Health Sciences NIH-funded |
| Lab location | 1 site (Newark, UNITED STATES) |
| Project start | December 12, 2024 |
| Project end | November 30, 2028 |
| Funding year | 2025 |
| Award (this year) | $671,544 |
| NIH project number | 1R01HL173998-01A1 |
| Project ID | NIH-11067568 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals who have recently experienced an acute myocardial infarction.
✕Less likely to help
Patients who have not experienced a heart attack or those with chronic heart conditions unrelated to acute myocardial infarction may not benefit from this research.
What this research studies
This research focuses on enhancing the assessment of heart attack risk through advanced cardiac ultrasound imaging and artificial intelligence. By analyzing standard ultrasound images, the study aims to create detailed data that can help identify patients at high risk for severe cardiac events. The approach combines traditional imaging techniques with deep learning algorithms to improve the accuracy of risk stratification for patients experiencing acute myocardial infarction. The goal is to develop non-invasive markers that can guide personalized treatment plans for better patient outcomes.
Why it matters
Potential benefit: If successful, this research could lead to more accurate risk assessments for heart attack patients, potentially saving lives through timely and tailored interventions.
How similar studies have gone: Previous research has shown promise in using imaging and AI for risk assessment in cardiovascular conditions, indicating that this approach could be effective.
Where this research is happening
-
Rutgers Biomedical and Health Sciences
Newark, United States Active
Researchers
- Principal investigator: Sengupta, Partho P — Rutgers Biomedical and Health Sciences
- Study coordinator: Sengupta, Partho P
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.